CASE STUDY OF SOFTWARE-ASSISTED COLLABORATIVE ONTOLOGY BUILDING

Abstract

There are multiple areas in knowledge management research, including an interest in the area of language development from a social networking perspective, but this is often ignored in favor of a strictly structured ontological model. This poster brings together perspectives on the linkage between the social theory of language development and that of ontology development, sketching out an approach that links user contributions, historical data from the candidate domain and information retrieved via automated machine learning and pattern recognition across the candidate domain in an iterative design process . To facilitate evaluation of this model, we describe its use via a case study demonstrating ontology development and evolution across a dataset of e-prints, examining and evaluating how social and contextual backgrounds play into ontological development.